Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things
暫譯: 人工智慧、區塊鏈技術與物聯網的可持續能源解決方案
Jain, Arpit, Sharma, Abhinav, Jately, Vibhu
- 出版商: CRC
- 出版日期: 2023-09-15
- 售價: $4,270
- 貴賓價: 9.5 折 $4,057
- 語言: 英文
- 頁數: 186
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032392754
- ISBN-13: 9781032392752
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相關分類:
人工智慧、區塊鏈 Blockchain、物聯網 IoT
海外代購書籍(需單獨結帳)
商品描述
The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy.
- Focuses on the integration of smart technology including artificial intelligence and sustainable energy
- Covers recent advancements in energy management techniques used in residential and commercial energy systems
- Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy
- Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis
- Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy
The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.
商品描述(中文翻譯)
這段文字提供了使用智慧科技(如人工智慧、區塊鏈技術和物聯網)來實現可持續能源解決方案。它進一步展示了幾個在可持續能源領域中應用物聯網、人工智慧和區塊鏈技術的案例研究。
- 專注於智慧科技的整合,包括人工智慧與可持續能源
- 涵蓋在住宅和商業能源系統中使用的能源管理技術的最新進展
- 突出人工智慧、機器學習及其在可持續能源中的應用
- 討論重要主題,如綠色能源、電網現代化、電網中的智慧安全和故障診斷
- 提供物聯網、區塊鏈和人工智慧在可持續能源中的應用案例研究
這段文字展示了最新的進展,以及包括人工智慧、區塊鏈和物聯網在內的技術在實現可持續能源系統中的重要性。它進一步討論了機器學習、應用深度學習和邊緣計算在可再生能源中的角色。文本涵蓋了關鍵概念,如智能電池管理系統、能源交易、綠色能源、電網現代化、電動車和充電站優化。這將成為電機工程、電子與通信工程、計算機工程和環境工程等領域的高年級本科生、研究生和學術研究者的理想參考書。
作者簡介
Dr. Arpit Jain currently working as an AI Practitioner at QpiAI India Pvt. Ltd., India. A multidisciplinary engineer having experience in Machine Learning, Data Science, Control System and Fuzzy Logic systems with an excellent vision towards industry focused education and state of art consulting solutions. A seasoned academician having 12+ years of diverse experience in academics, edtech and IT consulting domain. Worked as Assistant Professor for 10 years at UPES India, a part of Global University System (GUS), Netherlands. Research profile includes Indin patents, research articles in SCI/ Scopus indexed Journals, and edited books with IEEE, Emerald, RIVER, CRC and many other reputed publishing house. He received his B.Eng. degree from SVITS, Indore, in 2007 and M.Eng. from Thapar University, Patiala in 2009, Ph. D. from UPES, India in 2018..
Dr. Abhinav Sharma is presently working as an Assistant Professor (Selection Grade) in the department of Electrical & Electronics Engineering in University of Petroleum & Energy Studies (UPES). He received his B.Tech. degree from H. N. B. Garhwal University, Srinagar, India in 2009 and the M.Tech. and Ph. D. degree from Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India in 2011 and 2016. He has a rich teaching and diversified research experience. The areas of his research interests include Signal Processing and Communication, Smart Antennas, Artificial Intelligence and Machine Learning. He has published research articles in SCI/ Scopus indexed Journals and in National and International conferences.
Dr. Vibhu Jately received his Ph.D. degree from G. B. Pant University, Pantnagar, India. Following that, he worked as an Assistant Professor under United Nations Development Program within the Department of Electrical and Computer Engineering at Wollo University, Ethiopia. After that he worked as a Post-Doctoral Research Fellow for two years at MCAST Energy Research Group, Malta where he was a Task Leader of European H2020 projects. Currently he is working as an Assistant Professor (Selection Grade) within the Department of Electrical & Electronics Engineering at the University of Petroleum & Energy Studies, Dehradun, India. He has over 8 years of teaching and research experience. His area of interest includes power electronics applications in renewable energy systems and has worked in formulating MPPT algorithms, control strategies in grid integration of PVs, microgrids and optimization algorithms in PV applications. He is an active researcher and has published several research articles in top-quality peer-reviewed journals and international conferences.
Dr. Brian Azzopardi received the BEng (Hons) from UM and PhD from The University of Manchester in 2011. He also received teaching and pedological qualifications from MCAST (2008) and PGCHE from Oxford Brookes University (2012). He is currently working with Malta College of Arts, Science and Technology (MCAST), Visiting Senior Lecturer at the University of Malta (UM) and Consultant. Since 2011, he held senior academic and research positions in United Kingdom and Lithuania, and have served the industry, governments agencies and ministries and research since 1998. He is a Senior Member IEEE and member of the IET, EI, RSC and Chamber of Engineers. In 2008, he received the Eur. Ing. title followed by the CEng and the EI Chartered Energy Engineer titles in 2012. He is an editor and co-author of two books, 100+ research papers in peer-reviewed impact listed journals and conferences, and invited speaker.
作者簡介(中文翻譯)
Dr. Arpit Jain 目前在印度 QpiAI India Pvt. Ltd. 擔任 AI 實務專家。他是一位多學科工程師,擁有機器學習、數據科學、控制系統和模糊邏輯系統的經驗,對於以行業為重點的教育和尖端諮詢解決方案有著卓越的視野。他是一位經驗豐富的學者,在學術界、教育科技和 IT 諮詢領域擁有超過 12 年的多元經驗。在 UPES India(全球大學系統 GUS 的一部分)擔任助理教授 10 年。其研究簡介包括印度專利、在 SCI/Scopus 索引期刊上發表的研究文章,以及與 IEEE、Emerald、RIVER、CRC 等多家知名出版社合作編輯的書籍。他於 2007 年獲得印度 Indore 的 SVITS 工程學士學位,於 2009 年獲得印度 Patiala 的 Thapar University 碩士學位,並於 2018 年獲得 UPES 的博士學位。
Dr. Abhinav Sharma 目前在石油與能源研究大學(UPES)的電氣與電子工程系擔任助理教授(選拔級)。他於 2009 年在印度 Srinagar 的 H. N. B. Garhwal University 獲得 B.Tech. 學位,並於 2011 年和 2016 年在印度 Pantnagar 的 Govind Ballabh Pant University of Agriculture and Technology 獲得 M.Tech. 和 Ph.D. 學位。他擁有豐富的教學和多樣化的研究經驗。他的研究興趣包括信號處理與通信、智慧天線、人工智慧和機器學習。他在 SCI/Scopus 索引期刊及國內外會議上發表了多篇研究文章。
Dr. Vibhu Jately 獲得印度 Pantnagar 的 G. B. Pant University 的博士學位。隨後,他在埃塞俄比亞 Wollo University 的電氣與計算機工程系擔任聯合國開發計劃署的助理教授。之後,他在馬爾他 MCAST 能源研究小組擔任博士後研究員兩年,並擔任歐洲 H2020 項目的任務負責人。目前,他在印度 Dehradun 的石油與能源研究大學的電氣與電子工程系擔任助理教授(選拔級)。他擁有超過 8 年的教學和研究經驗。他的研究領域包括可再生能源系統中的電力電子應用,並在制定 MPPT 演算法、光伏系統的電網整合控制策略和光伏應用的優化演算法方面有過研究。他是一位活躍的研究者,並在高品質的同行評審期刊和國際會議上發表了多篇研究文章。
Dr. Brian Azzopardi 於 2011 年獲得 UM 的 BEng (Hons) 學位和曼徹斯特大學的博士學位。他還於 2008 年獲得 MCAST 的教學和教育學資格,並於 2012 年獲得牛津布魯克斯大學的 PGCHE 學位。他目前在馬爾他藝術、科學與技術學院(MCAST)工作,並擔任馬爾他大學(UM)的訪問高級講師和顧問。自 2011 年以來,他在英國和立陶宛擔任高級學術和研究職位,自 1998 年以來為行業、政府機構和部門及研究服務。他是 IEEE 的高級會員,並且是 IET、EI、RSC 和工程師協會的成員。2008 年,他獲得歐洲工程師(Eur. Ing.)稱號,隨後於 2012 年獲得 CEng 和 EI 特許能源工程師稱號。他是兩本書的編輯和合著者,並在同行評審的影響力期刊和會議上發表了 100 多篇研究論文,並擔任受邀演講者。